inboxpraveen / Movie-Recommendation-System
Content-based movie recommender: a training pipeline (TF-IDF, SVD, top-K cosine neighbours) and a Django app with search, autocomplete and a JSON API. Small models, about 1 ms lookups, ships with a demo model.
Why this job: works in the areas we cover, but does not say which job it does
What it does
TF-IDF, SVD and top-K cosine neighbours behind a Django app, with a training pipeline that scales from a few thousand films to the full TMDB catalogue.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 15 days ago
- Stars
- 247
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 65% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 0% closed
- 1 still open
- Pull requests
- 11 merged
- 1 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- Python 65%
- HTML 34%
- Dockerfile 1%
- Procfile <1%
Topics
- recommender-system
- recommendation-system
- movie-recommendation
- tmdb
- django
- python
- content-based-filtering
- cosine-similarity
- docker
- machine-learning
- nlp
- recommendation-engine
Project record
- JobOther AI tools
- StatusListed
- Commits194
- Forks103
- Watching2
- Stars in 28 days+3
- CreatedJan 15, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026